What is Multi-Turn Dialogue with Retrieval?
A conversational AI approach where retrieval systems provide relevant information for multi-turn interactions.
More about Multi-Turn Dialogue with Retrieval:
Multi-Turn Dialogue with Retrieval involves using retrieval systems to fetch relevant information across multiple turns in a conversation. This approach ensures that the AI system maintains context and provides accurate, contextually grounded responses throughout the dialogue.
By integrating retrieval methods like semantic search or dense retrieval, multi-turn dialogue systems can handle complex interactions in applications such as question answering and customer support.
Frequently Asked Questions
How does retrieval improve multi-turn dialogues?
It ensures that the AI system references accurate and relevant information, maintaining context across multiple interactions.
What challenges are common in multi-turn dialogue systems?
Challenges include managing the context window and ensuring retrieval systems provide consistent and contextually relevant information.
From the blog
Fine-tuning your custom ChatGPT chatbot
Finetuning your custom chatbot is a crucial step in ensuring that it can answer your visitors questions correctly and with the best possible information.
Herman Schutte
Founder
Handling Unresolved Support Tickets: Escalating To Human Agents
As amazing and helpful as your ChatGPT powered custom chatbot might be, sometimes your customers or visitors still need a human touch. That's where escalating to human support comes in.
Herman Schutte
Founder